Importance degree evaluation method and device of power transmission line, electronic equipment and storage medium

Abstract

The invention provides an importance degree evaluation method and device of a power transmission line, electronic equipment and a storage medium, and can be applied to the technical field of electric power. The method comprises the following steps: acquiring perfection evaluation data corresponding to each evaluation index for evaluating the importance of the power transmission line; wherein the perfection degree evaluation data comprises at least one expert based on index data of the evaluation index and a perfection degree score for evaluating the perfection degree of the evaluation index; for each evaluation index, based on the perfection evaluation data and the index type of the evaluation index, obtaining the index importance of the evaluation index; and obtaining the comprehensive importance of the power transmission line based on the index importance of each evaluation index. According to the method provided by the invention, various evaluation indexes for evaluating the importance of the power transmission network are classified and evaluated, so that a differentiated evaluation system which better conforms to the operation characteristics of the power distribution network is constructed, and the accuracy of power transmission line importance evaluation is effectively improved.

Description

Technical Field

[0001] This application relates to the field of power technology, and in particular to a method, apparatus, electronic device, and storage medium for assessing the importance of transmission lines. Background Technology

[0002] As the "last mile" of power supply, the power distribution network directly faces end users, and its stability and reliability are directly related to users' electricity experience and the overall operating efficiency of the power system.

[0003] To improve the intelligence level of the power distribution network and optimize resource allocation, it is necessary to assess the importance of transmission lines in the power distribution network in order to achieve precise allocation of operation and maintenance resources. This will allow limited operation and maintenance resources to be concentrated on maintaining and managing those more important transmission lines, thereby improving the overall operating efficiency and reliability of the power distribution network.

[0004] However, with the development of the times, the structure of power distribution networks is becoming increasingly complex. The current traditional methods for assessing the importance of transmission lines are no longer sufficient to meet the needs of differentiated operation and maintenance and planning of current power distribution networks. It is necessary to explore more accurate methods for assessing the importance of transmission lines in order to ensure the safe and stable operation of power distribution networks. Summary of the Invention

[0005] This application provides a method, apparatus, electronic device, and storage medium for assessing the importance of transmission lines, in order to solve the technical problem that existing methods for assessing the importance of transmission lines have low accuracy and are no longer able to meet the needs of differentiated operation and maintenance and planning of current power distribution networks.

[0006] According to the first aspect disclosed in this application, this application provides a method for assessing the importance of transmission lines, including:

[0007] Obtain completeness evaluation data corresponding to each evaluation indicator used to assess the importance of transmission lines; wherein, the completeness evaluation data includes a completeness score from at least one expert who assesses the completeness of the evaluation indicators based on the indicator data of the evaluation indicators.

[0008] For each evaluation indicator, based on the completeness evaluation data and indicator type, the indicator importance of the evaluation indicator is obtained.

[0009] The overall importance of the transmission line is obtained based on the importance of each evaluation indicator.

[0010] In one feasible implementation, the evaluation indicator is of basic or expected type. Based on the completeness evaluation data and indicator type of the evaluation indicator, the indicator importance is obtained, including:

[0011] If the evaluation indicator is of the basic type, then the completeness evaluation data of the evaluation indicator is input into the first quantitative evaluation model to obtain the indicator importance of the evaluation indicator.

[0012] If the evaluation indicator is of the expected type, then the completeness evaluation data of the evaluation indicator is input into the second quantitative evaluation model to obtain the indicator importance of the evaluation indicator.

[0013] In one feasible implementation, the first quantitative evaluation model satisfies the following formula:

[0014]

[0015] Among them, M i,k This represents the importance assessment score of the i-th basic evaluation index for the k-th transmission line, where N represents the number of experts, and S represents the number of experts. M,k,i,n α represents the completeness score of the nth expert in the completeness evaluation data of the i-th basic type evaluation index of the k-th transmission line. h This indicates the compliance coefficient.

[0016] In one feasible implementation, the second quantitative evaluation model satisfies the following formula:

[0017]

[0018] Among them, O i,k This represents the importance assessment score of the i-th expected evaluation index for the k-th transmission line, where N represents the number of experts, and S represents the number of experts. O,k,i,n This represents the perfection score of the nth expert in the perfection evaluation data of the i-th expected evaluation index of the k-th transmission line.

[0019] In one feasible implementation, the overall importance satisfies the following formula:

[0020]

[0021] Among them, S k M represents the overall importance assessment score of the k-th transmission line. i,k This represents the importance score of the i-th basic evaluation index for the k-th transmission line, where k represents the score of the basic evaluation index. m Indicates the number of basic evaluation indicators, O i,k This represents the importance score of the i-th expected evaluation indicator for the k-th transmission line, where k is the number of indicators. o This indicates the number of expected evaluation indicators.

[0022] In one feasible implementation, the method further includes:

[0023] Obtain the influence evaluation data for each evaluation indicator; wherein, the influence evaluation data includes the influence score of at least one expert assessing the importance and influence of the evaluation indicator;

[0024] For each evaluation indicator, the indicator type is determined based on the influence evaluation data of the evaluation indicator.

[0025] In one feasible implementation, based on the influence evaluation data of the evaluation indicators, the indicator type of the evaluation indicators is determined, including:

[0026] Based on the influence evaluation data, a pre-configured Kano classification comparison evaluation table is queried to obtain the indicator type of the evaluation indicator; wherein, the Kano classification comparison evaluation table is used to indicate the Kano classification category corresponding to the evaluation indicator under different influence evaluation data conditions.

[0027] According to a second aspect disclosed in this application, this application provides a transmission line importance assessment device, comprising:

[0028] The data acquisition module is used to acquire completeness evaluation data corresponding to each evaluation indicator used to assess the importance of transmission lines; wherein, the completeness evaluation data includes a completeness score from at least one expert who evaluates the completeness of the evaluation indicators based on the indicator data of the evaluation indicators.

[0029] The indicator evaluation module is used to obtain the indicator importance of each evaluation indicator based on the completeness evaluation data and indicator type.

[0030] The comprehensive evaluation module is used to obtain the comprehensive importance of the transmission line based on the importance of each evaluation indicator.

[0031] According to a third aspect disclosed in this application, this application provides an electronic device, including a processor and a memory communicatively connected to the processor;

[0032] The memory stores computer-executed instructions;

[0033] The processor executes computer execution instructions stored in the memory to implement the method described in any one of the first aspects.

[0034] According to the fourth aspect disclosed in this application, this application provides a computer-readable storage medium storing computer-executable instructions, which, when executed, are used to implement the method described in any one of the first aspects.

[0035] According to the fifth aspect disclosed in this application, this application provides a computer program product, including a computer program, which, when executed, is used to implement the method described in any one of the first aspects.

[0036] Compared with the prior art, this application has the following advantages:

[0037] This application provides a method, apparatus, electronic device, and storage medium for assessing the importance of transmission lines. By classifying and evaluating various assessment indicators for assessing the importance of transmission networks, a differentiated assessment system that better reflects the operating characteristics of distribution networks is constructed. This effectively improves the accuracy of transmission line importance assessment, provides precise guidance for the planning, decision-making, and allocation of operation and maintenance resources in distribution networks, and enhances the guidance precision for the formulation and planning of distribution network operation and maintenance strategies. This promotes the aggregation of power grid resources towards high-value transmission lines, ensuring the operational efficiency and reliability of distribution networks. Attached Figure Description

[0038] The accompanying drawings, which are incorporated in and form part of this specification, illustrate embodiments consistent with this application and, together with the description, serve to explain the principles of this application.

[0039] Figure 1 A flowchart illustrating a method for assessing the importance of a transmission line, provided in an embodiment of this application;

[0040] Figure 2 A flowchart illustrating another method for assessing the importance of a transmission line provided in an embodiment of this application;

[0041] Figure 3 This is a schematic diagram of the structure of a transmission line importance assessment device provided in an embodiment of this application;

[0042] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application.

[0043] The accompanying drawings illustrate specific embodiments of this application, which will be described in more detail below. These drawings and descriptions are not intended to limit the scope of the concept in any way, but rather to illustrate the concept of this application to those skilled in the art through reference to particular embodiments. Detailed Implementation

[0044] Exemplary embodiments will now be described in detail, examples of which are illustrated in the accompanying drawings. When the following description relates to the drawings, unless otherwise indicated, the same numbers in different drawings denote the same or similar elements. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with this application. Rather, they are merely examples of apparatuses and methods consistent with some aspects of this application as detailed in the appended claims.

[0045] The distribution network is a crucial component of the power system, responsible for converting high-voltage electricity transmitted from the transmission network into low-voltage electricity suitable for residential, commercial, and industrial users. As the "last mile" of electricity supply, it directly faces end users, and its stability and reliability directly impact the user's electricity experience and the overall operational efficiency of the power system.

[0046] To enhance the intelligence level of distribution networks and optimize resource allocation, it is necessary to assess the importance of transmission lines within the distribution network. This assessment identifies critical lines and those playing a more crucial role in power supply. Based on the importance of transmission line indicators, precise allocation of operation and maintenance resources can be achieved, concentrating limited resources on maintaining and managing the more important transmission lines. This improves the overall operational efficiency and reliability of the distribution network. Simultaneously, it also facilitates the rational planning of distribution network construction, optimizes line layout, and enhances the overall resilience of the distribution network.

[0047] However, with the development of the times, new electricity consumption scenarios such as distributed power source access and the surge in electric vehicle loads are constantly emerging, making the distribution network structure increasingly complex. Currently, traditional methods for assessing the importance of transmission lines mainly employ the analytic hierarchy process (AHP), entropy weight method, and fuzzy comprehensive evaluation method. These methods construct multi-index systems to weight and evaluate dimensions such as the structural importance, load characteristics, and operating status of the lines. However, existing technologies have significant drawbacks: First, they lack differentiation of demand levels, treating all evaluation indicators equally and failing to identify the differences in importance between "essential conditions for safe operation" and "strategic value enhancement factors," leading to resource misallocation. Second, they lack sufficient modeling of nonlinear effects, ignoring the nonlinear impact of some indicators on line importance. Third, they have poor dynamic adaptability, making it difficult to quickly respond to new demands in power grid development and unable to adjust the evaluation logic in real time. These shortcomings make it difficult for existing methods to accurately support operation and maintenance decisions and planning design in complex distribution network scenarios, necessitating breakthroughs in more scientific evaluation methods.

[0048] Therefore, traditional methods for assessing the importance of transmission lines are no longer sufficient to meet the needs of differentiated operation and maintenance and planning of current distribution networks. It is necessary to explore more accurate methods for assessing the importance of transmission lines in order to ensure the safe and stable operation of distribution networks.

[0049] To address the aforementioned technical issues, this application proposes a method, apparatus, electronic device, and storage medium for assessing the importance of transmission lines. By classifying and evaluating various assessment indicators for assessing the importance of transmission networks, a differentiated assessment system that better aligns with the operational characteristics of distribution networks is constructed, effectively improving the accuracy of transmission line importance assessment.

[0050] The technical solution of the transmission line importance assessment method provided in this application will be described in detail below through specific embodiments. It should be noted that the following embodiments may exist alone or in combination with each other, and the same or similar content may not be described again in different embodiments.

[0051] Figure 1 A flowchart illustrating a method for assessing the importance of a transmission line, as provided in this application embodiment, is shown below. Figure 1 In some embodiments, the method for assessing the importance of a transmission line includes the following steps:

[0052] S101, Obtain the completeness evaluation data corresponding to each evaluation indicator used to assess the importance of the transmission line; wherein, the completeness evaluation data includes a completeness score from at least one expert who evaluates the completeness of the evaluation indicators based on the indicator data of the evaluation indicators.

[0053] The various evaluation indicators used to assess the importance of transmission lines have different dimensions. Experts evaluate the completeness of each evaluation indicator based on its data, and obtain a completeness score for each indicator. This completeness score unifies the dimensions of the evaluation indicators, allowing them to be on the same scale, which is beneficial for subsequent calculations of the importance of transmission lines.

[0054] Specifically, the data for the evaluation indicators can be obtained through statistical analysis of transmission line data. For example, assuming one of the evaluation indicators is annual power supply, the data for this indicator can be obtained by statistically analyzing the power supply of the transmission line over a year.

[0055] Specifically, the scoring range for completeness can be different, such as 1-10 or 1-100.

[0056] S102, for each evaluation indicator, based on the completeness evaluation data and indicator type, obtain the indicator importance of the evaluation indicator.

[0057] Among them, by using the completeness evaluation data corresponding to each evaluation indicator, the important evaluation results corresponding to each evaluation indicator are obtained, so as to evaluate the importance of the transmission line from the perspective of a single evaluation indicator. That is, the importance of the indicator corresponding to a single evaluation indicator can reflect the importance of the transmission line in a certain aspect.

[0058] S103, based on the importance of each evaluation indicator, obtain the overall importance of the transmission line.

[0059] The overall importance of transmission lines is obtained by combining the importance of all evaluation indicators, so as to conduct a more comprehensive and accurate assessment of the importance of transmission lines.

[0060] In this embodiment, by classifying and evaluating various assessment indicators for assessing the importance of the transmission network, a differentiated assessment system that better conforms to the operating characteristics of the distribution network is constructed. This effectively improves the accuracy of the assessment of the importance of transmission lines, provides precise guidance for the planning, decision-making, and allocation of operation and maintenance resources in the distribution network, and enhances the guidance accuracy for the formulation and planning design of distribution network operation and maintenance strategies. This promotes the aggregation of power grid resources towards high-value transmission lines and ensures the operational efficiency and reliability of the distribution network.

[0061] exist Figure 1 Based on the embodiments shown, the following is combined with Figure 2 The technical solution for the above-mentioned method for assessing the importance of transmission lines will be further introduced.

[0062] Figure 2 A flowchart illustrating another method for assessing the importance of transmission lines provided in this application is shown below. Figure 2 In some embodiments, the method for assessing the importance of a transmission line includes the following steps:

[0063] S201, Construct an assessment system for evaluating the importance of transmission lines in a distribution network; the assessment system includes multiple assessment indicators.

[0064] One approach is to construct an evaluation system that allows for a comprehensive assessment of the importance of transmission lines from different dimensions, thereby improving the accuracy of the assessment.

[0065] Specifically, the evaluation system includes multiple evaluation dimensions such as safety assurance, load value, equipment health, emergency response capability, and development potential.

[0066] In terms of safety assurance, the evaluation indicators include three key indicators: line fault tripping rate, which reflects line stability; relay protection correct operation rate, which reflects the reliability of the protection system; and insulation resistance compliance rate, which measures insulation performance.

[0067] In terms of load value, the evaluation indicators include two key indicators: the proportion of load from important users and the annual power supply that reflects the economic value of the line.

[0068] In the equipment health dimension, the assessment indicators include two key indicators: overall equipment aging rate and defect severity index.

[0069] In terms of emergency response capabilities, the evaluation indicators include two key metrics: average fault repair time, which reflects emergency repair efficiency, and interconnection and power transfer capacity, which reflects load transfer potential.

[0070] In the dimension of development potential, the evaluation indicators include two key indicators: the regional load growth rate over the past three years, which is used to predict future power supply pressure, and the coverage rate of smart devices, which reflects the level of digitalization.

[0071] Specifically, the transmission line importance assessment system constructed based on the key indicators of the above different assessment dimensions is shown in Table 1.

[0072] Table 1. Power Line Importance Assessment System

[0073]

[0074]

[0075] S202, Obtain the influence evaluation data for each evaluation indicator; wherein, the influence evaluation data includes the influence score of at least one expert assessing the importance and influence of the evaluation indicator.

[0076] The evaluation process involves assessing the influence of assessment indicators on the importance of transmission lines through expert scoring, thereby obtaining an influence score for each indicator. By summing up the influence scores of different patents, the influence evaluation data of the assessment indicators is obtained.

[0077] Specifically, the experts included senior practitioners in fields such as power grid planning, rural electrification, and energy economics, forming an interdisciplinary research group.

[0078] Specifically, the importance and influence ratings of the evaluation indicators are collected from experts in the form of a questionnaire. For example, if the influence rating is on a five-point scale, the expert questionnaire based on the relevant evaluation indicators of the evaluation system is shown in Table 2.

[0079] Table 2 Expert Survey Form

[0080]

[0081]

[0082] Experts scored the importance and influence of the corresponding evaluation indicators by checking the score boxes in Table 2.

[0083] In addition, the survey form can be flexibly configured. For example, in addition to the five-point system, it can also be set to a ten-point system or a hundred-point system. Correspondingly, in addition to checking the score, it can also be set to a score writing mode.

[0084] S203, for each evaluation indicator, based on the impact evaluation data of the evaluation indicator, determine the indicator type of the evaluation indicator.

[0085] In this process, after experts score the importance and influence of the evaluation indicators, the indicator type corresponding to each evaluation indicator is determined based on the influence evaluation data of each indicator.

[0086] Specifically, the evaluation indicators are categorized into basic (M-type) and expected (O-type) indicators. The basic type represents the core functions and safety conditions that transmission lines must meet, which is the bottom line for ensuring the normal operation of transmission lines and the basic electricity rights of users. The expected type involves the optimization directions that users clearly pursue, such as the operating efficiency, ease of maintenance, and economy of transmission lines. The degree to which these are met directly affects users' satisfaction with the quality of power transmission services.

[0087] Optionally, based on the impact evaluation data of the evaluation indicators, the indicator types are determined, specifically including:

[0088] Based on the influence evaluation data, query the pre-configured Kano classification comparison evaluation table to obtain the indicator type of the evaluation indicator; the Kano classification comparison evaluation table is used to indicate the Kano classification category corresponding to the evaluation indicator under different influence evaluation data conditions.

[0089] The Kano classification model helps companies accurately identify core user needs by differentiating demand types, prioritizing resource allocation to develop features that significantly improve user satisfaction, thereby optimizing product design and market strategies. Applied to the importance assessment of transmission lines, it addresses the issue of existing methods failing to differentiate between different levels of indicator requirements. By categorizing assessment indicators into basic and expected needs, a differentiated indicator classification system tailored to distribution network operation characteristics is constructed. This effectively solves the non-linear assessment problem of indicator importance and clearly defines the differences in line requirements regarding safety assurance, value contribution, and strategic foresight.

[0090] Specifically, taking two experts as an example, the corresponding Kano classification comparison evaluation table is shown in Table 3.

[0091] Table 3. Kano Classification Comparison and Evaluation Table

[0092]

[0093] For example, taking the line fault tripping rate as the evaluation index, if expert 1 scores 2 points for the importance and influence of the line fault tripping rate and expert 2 scores 3 points for the importance and influence of the line fault tripping rate, referring to Table 3, then the index type of the line fault tripping rate is M (basic type).

[0094] Optionally, to further improve the accuracy of the evaluation indicator classification, multiple groups of experts can be used for classification, and the indicator type with the most frequent occurrences can be adopted as the evaluation indicator type. For example, if three groups of experts are set up, with two experts in each group, and for a certain evaluation indicator, two groups of experts evaluate it as the basic type, and one group of experts evaluates it as the expected type, then the indicator type of this evaluation indicator is the basic type.

[0095] Specifically, the number of experts in the panel is an odd number.

[0096] Specifically, the Kano classification includes the basic type (M type) and the desired type (O type).

[0097] S204, Obtain the completeness evaluation data corresponding to each evaluation indicator used to assess the importance of the transmission line; wherein, the completeness evaluation data includes a completeness score of at least one expert who evaluates the completeness of the evaluation indicators based on the indicator data of the evaluation indicators.

[0098] In this process, experts evaluate the completeness of each evaluation indicator based on the indicator data and obtain a completeness score for each indicator.

[0099] S205: For each evaluation indicator, based on the completeness evaluation data and indicator type, obtain the indicator importance of the evaluation indicator.

[0100] Specifically, based on the completeness evaluation data corresponding to each evaluation indicator, the importance of each evaluation indicator is obtained, so as to evaluate the importance of the transmission line from the perspective of a single evaluation indicator.

[0101] Optionally, based on the completeness evaluation data and indicator type of the evaluation indicators, the importance of the evaluation indicators can be obtained, specifically including:

[0102] Step 1: If the evaluation indicator is of the basic type, input the completeness evaluation data of the evaluation indicator into the first quantitative evaluation model to obtain the indicator importance.

[0103] If the evaluation indicator is of the basic type, it means that the evaluation indicator represents the core functions and safety conditions that the transmission line must meet. Therefore, it is necessary to consider whether the indicator data of the evaluation indicator meets the safety threshold. Thus, the first quantitative evaluation model introduces a compliance coefficient to obtain the importance of the corresponding evaluation indicator.

[0104] Specifically, the first quantitative evaluation model satisfies the following formula:

[0105]

[0106] Among them, M i,k This represents the importance assessment score of the i-th basic evaluation index for the k-th transmission line, where N represents the number of experts, and S represents the number of experts. M,k,i,n α represents the completeness score of the nth expert in the completeness evaluation data of the i-th basic type evaluation index of the k-th transmission line. h This indicates the compliance coefficient.

[0107] Where, α h α represents the compliance coefficient; when the evaluation metric meets the safety threshold, α h α is 1 when the evaluation index does not meet the safety threshold. h This is a constant parameter less than 1, such as 0.8. The compliance coefficient indicates that if the assessment indicator does not meet the safety threshold, its importance will be reduced due to the compliance coefficient. This is because it indicates that the transmission line has not met the basic safety requirements for this assessment indicator, and therefore the importance of the target transmission cable will decrease.

[0108] Specifically, the compliance coefficient can be obtained by querying a pre-configured coefficient table, which indicates the compliance coefficient of the evaluation indicator data under different numerical ranges.

[0109] Step 2: If the evaluation indicator is of the expected type, then input the completeness evaluation data of the evaluation indicator into the second quantitative evaluation model to obtain the indicator importance.

[0110] If the evaluation indicator is of the expected type, it indicates that the evaluation indicator is not a core function and safety condition that the transmission line must meet. Therefore, the importance of the evaluation indicator is obtained through the second quantitative evaluation model.

[0111] Specifically, the second quantitative evaluation model satisfies the following formula:

[0112]

[0113] Among them, O i,k This represents the importance assessment score of the i-th expected evaluation index for the k-th transmission line, where N represents the number of experts, and S represents the number of experts. O,k,i,n This represents the perfection score of the nth expert in the perfection evaluation data of the i-th expected evaluation index of the k-th transmission line.

[0114] Specifically, based on the type of evaluation indicator, different types of indicators are treated differently. A differentiated indicator classification system that conforms to the characteristics of distribution network operation has been constructed, effectively solving the problem of nonlinear assessment of indicator importance and clearly defining the different needs of transmission lines in terms of safety assurance, value contribution, and strategic foresight.

[0115] S206. Based on the importance of each evaluation indicator, the overall importance of the transmission line is obtained.

[0116] Specifically, the overall importance score satisfies the following formula:

[0117]

[0118] Among them, S k M represents the overall importance assessment score of the k-th transmission line. i,k This represents the importance score of the i-th basic evaluation index for the k-th transmission line, where k represents the score of the basic evaluation index. m Indicates the number of basic evaluation indicators, O i,k This represents the importance score of the i-th expected evaluation indicator for the k-th transmission line, where k is the number of indicators. o This indicates the number of expected evaluation indicators.

[0119] In this embodiment, on the one hand, existing methods for assessing the importance of distribution network lines neglect the hierarchical differences in the requirements of indicators for grid operation, failing to effectively distinguish the nonlinear impact of basic safety assurance indicators versus value enhancement and strategic foresight indicators on the importance of transmission lines. This results in assessment results that do not accurately reflect the criticality of lines in terms of safety, economy, and foresight. By drawing on the demand stratification theory in quality management, assessment indicators are divided into two categories: basic and expected demands. A differentiated indicator classification system that conforms to the operational characteristics of distribution networks is constructed, solving the problem of nonlinear assessment of the importance of evaluation indicators and clearly defining the differences in the needs of transmission lines in terms of safety assurance, value contribution, and strategic foresight.

[0120] On the other hand, addressing the problem that traditional assessment methods, which use average weighted calculations of indicators, fail to highlight differentiated needs and result in a lack of precise guidance for operation and maintenance resource allocation and planning decisions, a comprehensive assessment model has been established that includes compliance constraints on basic assessment indicators and weighted calculations of expected assessment indicators. This model represents a technological leap from "average indicator assessment" to "differentiated demand assessment," enabling precise quantification of the differentiated impact of different indicators on the importance of transmission lines. It improves the accuracy of the importance assessment results in guiding the formulation of distribution network operation and maintenance strategies and planning design, thereby promoting the concentration of power grid resources on transmission lines with high safety risks, high value contributions, and high development potential.

[0121] The following example, using five transmission lines in a power distribution network, further illustrates the specific implementation of the present invention.

[0122] First, based on the requirements for high-quality development of distribution networks, an importance assessment system for transmission lines, as shown in Table 1, is constructed.

[0123] Then, a cross-disciplinary research team composed of senior practitioners from fields such as power grid planning, rural electrification, and energy economics was invited to design a Kano classification model based on the evaluation indicator system and classify each evaluation indicator. Specifically, the research results of two experts were grouped together, and the specific indicator type (M: basic type, O: expected type) of each evaluation indicator was identified using the Kano classification comparison and evaluation table shown in Appendix Table 3. If multiple expert groups consulted the classification of evaluation indicators, the Kano category that appeared most frequently in the expert group evaluation results was selected as the indicator type for a given evaluation indicator.

[0124] Specifically, the specific indicator types for each evaluation indicator are shown in Table 4.

[0125] Table 4. Comparison of Evaluation Indicator Types

[0126] index Indicator Type Line fault tripping rate M Relay protection correct operation rate M Insulation resistance compliance rate M Percentage of load from key users O Annual power supply O Overall equipment aging rate M Defect Severity Index M Mean time to repair O Contact transfer capability O Regional load growth rate O Smart device coverage O

[0127] Specifically, the basic indicators of the five transmission lines were obtained from statistical analysis by the metering system, and the data are shown in Table 5.

[0128] Table 5. Data Table of Basic Evaluation Indicators

[0129]

[0130] Subsequently, three experts were selected to score the completeness of the basic evaluation indicators of the five selected transmission lines. The scoring results are shown in Table 6.

[0131] Table 6. Expert Scoring Sheet for the Completeness of Basic Evaluation Indicators

[0132]

[0133] The safety thresholds for the basic evaluation indicators are shown in Table 7.

[0134] Table 7 Safety Thresholds for Basic Assessment Indicators

[0135]

[0136] Since the indicators of each circuit meet the safety threshold, the compliance coefficient α is... h All are 1. The importance scores of the basic evaluation indicators calculated based on the first quantitative evaluation model are shown in Table 8.

[0137] Table 8. Evaluation Score Table of Importance of Basic Evaluation Indicators

[0138]

[0139] Subsequently, three experts were selected to score the completeness of the expected evaluation indicators for the five selected transmission lines. The scoring results are shown in Table 9. The indicator parameters for the expected evaluation indicators are omitted and not shown.

[0140] Table 9. Expert Scoring Table for the Completeness of Expected Evaluation Indicators

[0141]

[0142]

[0143] The importance score of the expected evaluation indicators is then calculated based on the second quantitative evaluation model, as shown in Table 10.

[0144] Table 10: Importance Assessment Scoring Table for Expectation-Based Evaluation Indicators

[0145]

[0146] Finally, the overall importance score of the power distribution network transmission lines is calculated by combining the importance scores of the basic evaluation indicators and the importance scores of the expected indicators.

[0147] Specifically, the comprehensive score of the importance of power distribution network transmission lines is shown in Table 11.

[0148] Table 11 Comprehensive Score of Importance of Power Distribution Network Transmission Lines

[0149] Power distribution network transmission lines Overall Importance Score Line 1 82.63 Line 2 77.92 Line 3 71.25 Line 4 85.70 Line 5 80.95

[0150] Compile and rank the comprehensive importance scores of the transmission lines participating in the assessment.

[0151] Specifically, the ranking results of transmission lines based on their importance scores are shown in Table 12.

[0152] Table 12 Ranking of Transmission Line Importance

[0153] transmission lines Line 1 Line 2 Line 3 Line 4 Line 5 Ranking 2 4 5 1 3

[0154] The distribution network lines are ranked according to their comprehensive scores, and maintenance resources are given priority to the top-ranked distribution network lines based on the ranking results. This provides a scientific basis for the allocation of maintenance resources and the upgrading of protection devices, thereby improving the operating efficiency and reliability of the entire distribution network.

[0155] Figure 3This is a schematic diagram of the structure of a transmission line importance assessment device provided in an embodiment of this application. (See attached diagram.) Figure 3 The importance assessment device for the transmission line includes various functional modules for implementing the aforementioned importance assessment method for the transmission line. Any functional module can be implemented by software and / or hardware.

[0156] In some embodiments, the importance assessment device 300 for transmission lines includes a data acquisition module 301, an index assessment module 302, and a comprehensive assessment module 303. Wherein:

[0157] The data acquisition module 301 is used to acquire the completeness evaluation data corresponding to each evaluation indicator used to assess the importance of the transmission line; wherein, the completeness evaluation data includes a completeness score of at least one expert based on the indicator data of the evaluation indicator to assess the completeness of the evaluation indicator.

[0158] The indicator evaluation module 302 is used to obtain the indicator importance of each evaluation indicator based on the completeness evaluation data and indicator type.

[0159] The comprehensive evaluation module 303 is used to obtain the comprehensive importance of the transmission line based on the importance of each evaluation indicator.

[0160] In some embodiments, the evaluation indicator is of basic or expected type, and the indicator evaluation module 302 is specifically used for:

[0161] If the evaluation indicator is of the basic type, then the completeness evaluation data of the evaluation indicator is input into the first quantitative evaluation model to obtain the indicator importance.

[0162] If the evaluation indicator is of the expected type, then the completeness evaluation data of the evaluation indicator is input into the second quantitative evaluation model to obtain the indicator importance.

[0163] In some embodiments, the first quantitative evaluation model satisfies the following formula:

[0164]

[0165] Among them, M i,k This represents the importance assessment score of the i-th basic evaluation index for the k-th transmission line, where N represents the number of experts, and S represents the number of experts. M,k,i,n α represents the completeness score of the nth expert in the completeness evaluation data of the i-th basic type evaluation index of the k-th transmission line. h This indicates the compliance coefficient.

[0166] In some embodiments, the second quantitative evaluation model satisfies the following formula:

[0167]

[0168] Among them, O i,k This represents the importance assessment score of the i-th expected evaluation index for the k-th transmission line, where N represents the number of experts, and S represents the number of experts. O,k,i,n This represents the perfection score of the nth expert in the perfection evaluation data of the i-th expected evaluation index of the k-th transmission line.

[0169] In some embodiments, the overall importance satisfies the following formula:

[0170]

[0171] Among them, S k M represents the overall importance assessment score of the k-th transmission line. i,k This represents the importance score of the i-th basic evaluation index for the k-th transmission line, where k represents the score of the basic evaluation index. m Indicates the number of basic evaluation indicators, O i,k This represents the importance score of the i-th expected evaluation indicator for the k-th transmission line, where k is the number of indicators. o This indicates the number of expected evaluation indicators.

[0172] In some embodiments, the device 300 further includes an index classification module 304, which is specifically used for:

[0173] Obtain the impact evaluation data for each evaluation indicator; the impact evaluation data includes the impact score of at least one expert assessing the importance and impact of the evaluation indicator.

[0174] For each evaluation indicator, the indicator type is determined based on the impact evaluation data of the evaluation indicator.

[0175] In some embodiments, the index classification module 304 is further configured to:

[0176] Based on the influence evaluation data, query the pre-configured Kano classification comparison evaluation table to obtain the indicator type of the evaluation indicator; the Kano classification comparison evaluation table is used to indicate the Kano classification category corresponding to the evaluation indicator under different influence evaluation data conditions.

[0177] The transmission line importance assessment device 300 provided in this application embodiment is used to execute the technical solution provided in the aforementioned transmission line importance assessment method embodiment. Its implementation principle and technical effect are similar to those in the aforementioned method embodiment, and will not be repeated here.

[0178] It should be noted that the division of the various modules in the above device is merely a logical functional division. In actual implementation, they can be fully or partially integrated into a single physical entity, or they can be physically separated. Furthermore, these modules can be implemented entirely in software via processing elements, entirely in hardware, or partially in software via processing elements and partially in hardware. For example, the performance evaluation module 302 can be a separate processing element, or it can be integrated into a chip within the device. Alternatively, it can be stored as program code in the device's memory, and its function can be called and executed by a processing element. The implementation of other modules is similar. Moreover, these modules can be fully or partially integrated together, or they can be implemented independently. The processing element here can be an integrated circuit with signal processing capabilities. During implementation, each step of the above method or each of the above modules can be completed through integrated logic circuits in the processor element or through software instructions.

[0179] Figure 4 This is a schematic diagram of the structure of an electronic device provided in an embodiment of this application. (See attached diagram.) Figure 4 The electronic device 400 includes a processor 401 and a memory 02 communicatively connected to the processor 401;

[0180] Memory 402 stores instructions executed by the computer;

[0181] The processor 401 executes the computer execution instructions stored in the memory 402 to implement the technical solution of the aforementioned method for assessing the importance of transmission lines.

[0182] In the aforementioned electronic device 400, the memory 402 and the processor 401 are electrically connected directly or indirectly to achieve data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines, such as bus connections. The bus can be an Industry Standard Architecture (ISA) bus, a Peripheral Component Interconnect (PCI) bus, or an Extended Industry Standard Architecture (EISA) bus, etc. Buses can be classified as address buses, data buses, control buses, etc., but this does not mean that there is only one bus or one type of bus. The memory 402 stores computer execution instructions for implementing the aforementioned transmission line importance assessment method, including at least one software functional module that can be stored in the memory 402 in the form of software or firmware. The processor 401 executes various functional applications and data processing by running the software programs and modules stored in the memory 402.

[0183] The memory 402 includes at least one type of readable storage medium, not limited to Random Access Memory (RAM), Read Only Memory (ROM), Programmable Read-Only Memory (PROM), Erasable Programmable Read-Only Memory (EPROM), Electrically Erasable Programmable Read-Only Memory (EEPROM), etc. The memory 402 stores programs, which are executed by the processor 401 upon receiving execution instructions. Furthermore, the software programs and modules within the memory 402 may also include an operating system, which may include various software components and / or drivers for managing system tasks (e.g., memory management, storage device control, power management, etc.) and can communicate with various hardware or software components to provide an operating environment for other software components.

[0184] Processor 401 can be an integrated circuit chip with signal processing capabilities. The aforementioned processor 401 can be a general-purpose processor, including a Central Processing Unit (CPU), a Network Processor (NP), a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. It can implement or execute the methods, steps, and logic block diagrams disclosed in the embodiments of this application. The general-purpose processor can be a microprocessor, or processor 401 can be any conventional processor.

[0185] The electronic device 400 is used to execute the technical solution provided in the aforementioned method embodiment for assessing the importance of transmission lines. Its implementation principle and technical effects are similar to those in the aforementioned method embodiment, and will not be repeated here.

[0186] This application also provides a computer-readable storage medium storing computer-executable instructions, which, when executed, are used to implement the technical solution of the aforementioned method for assessing the importance of transmission lines.

[0187] The aforementioned computer-readable storage medium can be implemented by any type of volatile or non-volatile storage device or a combination thereof, such as static random access memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic storage, flash memory, magnetic disk, or optical disk. The computer-readable storage medium can be any available medium accessible to a general-purpose or special-purpose computer.

[0188] An exemplary readable storage medium is coupled to a processor, enabling the processor to read information from and write information to the readable storage medium. Alternatively, the readable storage medium can be an integral part of the processor. The processor and the readable storage medium can reside in application-specific integrated circuits (ASICs). Alternatively, the processor and the readable storage medium can exist as discrete components in the control unit of a transmission line importance assessment device.

[0189] This application also provides a computer program product, including a computer program, which, when executed, is used to implement the technical solution of the aforementioned method for assessing the importance of transmission lines.

[0190] In the above embodiments, those skilled in the art will understand that the above method embodiments can be implemented entirely or partially by software, hardware, firmware, or any combination thereof. When implemented in software, it can be implemented entirely or partially in the form of a computer program product. A computer program product includes one or more computer instructions. When the computer program instructions are loaded and executed on a computer, all or part of the flow or function according to the embodiments of this application is generated. The computer can be a general-purpose computer, a special-purpose computer, a computer network, or other programmable device. The computer instructions can be stored in a computer-readable storage medium or transmitted from one computer-readable storage medium to another. For example, computer instructions can be transmitted from one website, computer, server, or data center to another website, computer, server, or data center via wired (e.g., coaxial cable, fiber optic, digital subscriber line (DSL)) or wireless (e.g., infrared, wireless network, microwave, etc.) means. The computer-readable storage medium can be any available medium that a computer can access or a data storage device such as a server or data center that integrates one or more available media. The available media can be magnetic media (e.g., floppy disks, hard disks, magnetic tapes), optical media (e.g., DVDs), or semiconductor media (e.g., solid-state drives (SSDs)).

[0191] In the above embodiments, the descriptions of each embodiment have their own emphasis. For parts not described in detail in a certain embodiment, please refer to the relevant descriptions of other embodiments. The technical features of the above embodiments can be combined arbitrarily. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as the combination of these technical features does not contradict each other, it should be considered within the scope of this specification.

[0192] Other embodiments of this application will readily occur to those skilled in the art upon consideration of the specification and practice of the invention disclosed herein. This application is intended to cover any variations, uses, or adaptations of this application that follow the general principles of this application and include common knowledge or customary techniques in the art not disclosed herein. The specification and examples are to be considered exemplary only, and the true scope and spirit of this application are indicated by the appended claims.

[0193] It should be understood that this application is not limited to the precise structure described above and shown in the accompanying drawings, and various modifications and changes can be made without departing from its scope. The scope of this application is limited only by the appended claims.

Claims

1. A method for assessing the importance of a transmission line, characterized in that, include: Obtain completeness evaluation data corresponding to each evaluation indicator used to assess the importance of transmission lines; wherein, the completeness evaluation data includes a completeness score from at least one expert who assesses the completeness of the evaluation indicators based on the indicator data of the evaluation indicators. For each evaluation indicator, based on the completeness evaluation data and indicator type, the indicator importance of the evaluation indicator is obtained. The overall importance of the transmission line is obtained based on the importance of each evaluation indicator.

2. The method according to claim 1, characterized in that, The evaluation indicators are of either basic or expected type. Based on the completeness evaluation data and indicator type of the evaluation indicators, the importance of the evaluation indicators is obtained, including: If the evaluation indicator is of the basic type, then the completeness evaluation data of the evaluation indicator is input into the first quantitative evaluation model to obtain the indicator importance of the evaluation indicator. If the evaluation indicator is of the expected type, then the completeness evaluation data of the evaluation indicator is input into the second quantitative evaluation model to obtain the indicator importance of the evaluation indicator.

3. The method according to claim 2, characterized in that, The first quantitative evaluation model satisfies the following formula: Among them, M i,k This represents the importance assessment score of the i-th basic evaluation index for the k-th transmission line, where N represents the number of experts, and S represents the number of experts. M,k,i,n α represents the completeness score of the nth expert in the completeness evaluation data of the i-th basic type evaluation index of the k-th transmission line. h This indicates the compliance coefficient.

4. The method according to claim 2, characterized in that, The second quantitative evaluation model satisfies the following formula: Among them, O i,k This represents the importance assessment score of the i-th expected evaluation index for the k-th transmission line, where N represents the number of experts, and S represents the number of experts. O,k,i,n This represents the perfection score of the nth expert in the perfection evaluation data of the i-th expected evaluation index of the k-th transmission line.

5. The method according to any one of claims 2-4, characterized in that, The overall importance satisfies the following formula: Among them, S k M represents the overall importance assessment score of the k-th transmission line. i,k This represents the importance score of the i-th basic evaluation index for the k-th transmission line, where k represents the score of the basic evaluation index. m Indicates the number of basic evaluation indicators, O i,k This represents the importance score of the i-th expected evaluation indicator for the k-th transmission line, where k is the number of indicators. o This indicates the number of expected evaluation indicators.

6. The method according to any one of claims 2-4, characterized in that, The method further includes: Obtain the influence evaluation data for each evaluation indicator; wherein, the influence evaluation data includes the influence score of at least one expert assessing the importance and influence of the evaluation indicator; For each evaluation indicator, the indicator type is determined based on the influence evaluation data of the evaluation indicator.

7. The method according to claim 6, characterized in that, Based on the impact evaluation data of the aforementioned evaluation indicators, the indicator types of the evaluation indicators are determined, including: Based on the influence evaluation data, a pre-configured Kano classification comparison evaluation table is queried to obtain the indicator type of the evaluation indicator; wherein, the Kano classification comparison evaluation table is used to indicate the Kano classification category corresponding to the evaluation indicator under different influence evaluation data conditions.

8. A device for assessing the importance of a transmission line, characterized in that, include: The data acquisition module is used to acquire completeness evaluation data corresponding to each evaluation indicator used to assess the importance of transmission lines; wherein, the completeness evaluation data includes a completeness score from at least one expert who evaluates the completeness of the evaluation indicators based on the indicator data of the evaluation indicators. The indicator evaluation module is used to obtain the indicator importance of each evaluation indicator based on the completeness evaluation data and indicator type. The comprehensive evaluation module is used to obtain the comprehensive importance of the transmission line based on the importance of each evaluation indicator.

9. An electronic device, characterized in that, Includes a processor and a memory communicatively connected to the processor; The memory stores computer-executed instructions; The processor executes computer execution instructions stored in the memory to implement the method as described in any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer-executable instructions, which, when executed, are used to implement the method as described in any one of claims 1 to 7.

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